Web-based Bayesian Communication: the Bayesian z-test.

Harold P. Lehmann, Alexander Barshay, L. Allan Grimm, Karen A. Robinson, Cynthia Sheffield

Research output: Contribution to journalArticle

Abstract

Bayesian Communication provides an explicit and quantitative way to combine a reader's preconceived notions with data from a study to help in making decisions, and thus implements the decision-analytic paradigm in the setting of interpreting and adapting research results. Article Assistant employs a three-tier architecture. The interface elicits users' prior belief and values; the article library provides data from the study, the system calculates the posterior belief distribution and sensitivity analysis on the fly, and provides an interpretation of the numerical results.

Original languageEnglish (US)
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2005

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ASJC Scopus subject areas

  • Medicine(all)

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